Twitter periodically with the algorithm working Shares relevant information. In the previously published analysis, it was revealed that the platform’s image cropping system applied negative discrimination to black citizens. Company, “Bias in machine learning is a common problem and we are committed to improving it” he admitted the mistake.
Twitter has now shared its work on the status of political content within the application. In a blog post published Thursday, the algorithm’s right-leaning individuals and institutions He confirmed that he applied positive discrimination to the tweets posted by him. He did not explain why.
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Twitter examined 7 different countries within the scope of the study
Briefly touching on the functioning of the algorithm, Twitter gave information about its working logic. Users tweets on homepage since 2016 in reverse chronological order reminded that they can view them in order of priority as well as list them in order of priority. In addition to the accounts you follow, people you interact with often He stated that he made suggestions based on your interest.
Twitter selected the study among the content displayed algorithmically on the homepage. analyze the political ones He said he did it for. Between 1 April – 15 August 2020 Canada, France, Germany, Japan, Spain, United Kingdom and United States of America Underlining that it examines outstanding accounts in 7 countries, the company detailed how the tweets from these accounts are reflected in the algorithm.
Stating that the political content shared by the accounts where the analysis was made is highlighted in the algorithm, Twitter listed the findings as follows:
- Regardless of the political affiliation, the politically-related tweets of our elected officials were more prominent when compared to the political posts displayed in reverse chronological order.
- Our systems do not take political ideology into account when making suggestions. For this reason, people who tended to the same political formation were not equally prominent.
- In other countries except Germany tweets shared by right-leaning accounts compared to left-leaning was found to be more prominent.
- It turned out that right-leaning news organizations were more prominent by our algorithms compared to left-leaning news organizations.
As a result of Twitter research ‘reinforces certain political content’ he accepted. However, he did not share any information about the reason for this. Reminding that the algorithm takes into account the accounts that users interact with, he emphasized that it is difficult to determine the exact reason for the work in question.